Triadic closure dynamics drives scaling laws in social multiplex networks
Klimek, Peter; Thurner, Stefan
- Social networks exhibit scaling laws for several structural characteristics, such as degree$\backslash$n distribution, scaling of the attachment kernel and clustering coefficients as a function of node$\backslash$n degree. A detailed understanding if and how these scaling laws are inter-related is missing so far,$\backslash$n let alone whether they can be understood through a common, dynamical principle. We propose a simple$\backslash$n model for stationary network formation and show that the three mentioned scaling relations follow as$\backslash$n natural consequences of triadic closure. The validity of the model is tested on multiplex data from$\backslash$n a well-studied massive multiplayer online game. We find that the three scaling exponents observed in$\backslash$n the multiplex data for the friendship, communication and trading networks can simultaneously be$\backslash$n explained by the model. These results suggest that triadic closure could be identified as one of the$\backslash$n fundamental dynamical principles in social multiplex network formation.
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- Type of Publication:
- New Journal of Physics